Class 10 AI tuition for 2026-27, compared honestly before you pay for any of it.

Class dates in the busiest months of the year

Counted from the calendar. One to one is different: in India the monthly plan is one private class a week, outside India two, so divide by four or eight instead.

Four questions to ask before comparing the two numbers

1. What is included in the session?

   Marking, mock papers, the practical file check and viva practice can each be "extra" with some tutors. Here they are part of ordinary classes.

2. How long is the journey?

   A forty-minute round trip twice a week is more than five hours a month that a Class 10 student does not get back.

3. Who covers the practical half?

   If the tutor teaches only the theory book, half the 100 marks still need a second source.

4. What happens in a missed week?

   Ask how a cancelled class is made up. Billing here is monthly with no admission fee, and you can stop at the end of any month.

Step 1: one sentence for each

• Classification predicts a label from a fixed set, using labelled examples: pass or fail, spam or not spam.
• Regression predicts a number on a continuous scale, using labelled examples: tomorrow's rainfall in millimetres.
• Clustering groups similar items when no labels exist at all: shoppers with similar baskets.

Step 2: sort these before reading on

1. A bank predicts whether a loan will be repaid.
   Answer

   Classification. Two labels, repaid or not.
2. An app estimates a flat's rent from its size and area.
   Answer

   Regression. Rent is a number.
3. A music service groups listeners by what they play, with no categories given.
   Answer

   Clustering. No labels, so unsupervised.
4. A model predicts a student's board percentage from mock scores.
   Answer

   Regression. The output is a percentage, a number.
5. A camera app decides whether a leaf is healthy, rusted or blighted.
   Answer

   Classification. Three labels is still classification.
6. A school groups 600 students by reading habits to plan library clubs.
   Answer

   Clustering. The groups are discovered, not given.

Question 5 is the one most students miss: they think classification means only two classes.

Step 3: a four-mark answer, marked

Question. Differentiate between supervised and unsupervised learning with one example of each. (4)

Supervised learning is when a
teacher supervises the model.
Unsupervised learning has no
teacher. Example: spam filter.

Supervised: the model learns from
labelled data, where each example
already has the correct answer.  [1]
e.g. a spam filter trained on mails
marked spam / not spam.          [1]
Unsupervised: the data has no
labels; the model finds patterns
or groups on its own.            [1]
e.g. grouping customers by their
buying habits (clustering).      [1]